ASOS Logo

ASOS

Applied Scientist (Marketing & Customer)

Posted 4 Days Ago
Be an Early Applicant
In-Office
London, England
Mid level
In-Office
London, England
Mid level
As an Applied Scientist, you will develop and deploy machine learning systems focused on marketing, collaborate with teams, and validate models.
The summary above was generated by AI
Company Description

We’re ASOS, the online retailer for fashion lovers all around the world. 

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions. 

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.  

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. 

Job Description

We are seeking an Applied Scientist to join a collaborative machine learning product team focused on delivering innovative solutions that enhance the customer experience. This role offers the opportunity to work on large-scale, real-world problems and contribute to impactful projects across key business areas.

The position is part of a broader Applied Science function that designs and maintains algorithms supporting various operational and customer-facing domains - with a focus on Marketing focused Data Science/Machine Learning techniques. The team builds machine learning models at scale, drawing on rich data sources to drive meaningful outcomes.

Key Responsibilities

  • Collaborate within a cross-functional team to develop and deploy large-scale machine learning systems.
  • Lead the implementation and scaling of algorithms with measurable business impact.
  • Design and conduct experiments to validate models and inform product direction.
  • Stay current with developments in the field through research, reading groups, and prototype testing.
  • Contribute to ongoing improvements in code quality, infrastructure, and feature development.
  • Participate in learning opportunities, knowledge-sharing sessions, and technical events.
  • Promote diversity, equity, and inclusion in both team culture and work practices.

Qualifications

About You

  • Demonstrated experience applying machine learning in production environments.
  • An interest in working on marketing specific Data Science/Machine Learning projects - Such as MMM, Incrementality/Causal Inference etc.
  • Depending on the team's focus, relevant experience could include areas such as causal inference, or Bayesian methods.
  • Proficiency in programming languages used in machine learning and familiarity with common frameworks.
  • Solid grasp of statistical methods and software development best practices.
  • Ability to work independently, manage timelines, and deliver prototypes or models aligned with business needs.
  • Strong collaboration skills and comfort working across technical and non-technical roles.
  • An interest in research and innovation, with any publications in reputable machine learning venues considered a plus.

Additional Information

BeneFITS’ 

  • Employee discount (hello ASOS discount!)  
  • Employee sample sales 
  • 25 days paid annual leave + an extra celebration day for a special moment  
  • Private medical care scheme  
  • Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us 
  • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role. 

Top Skills

Bayesian Methods
Causal Inference
Machine Learning
Programming Languages
Statistical Methods

ASOS London, England Office

Hampstead Rd, London, United Kingdom, NW1 7FB

Similar Jobs

2 Minutes Ago
Hybrid
2 Locations
Senior level
Senior level
Fintech • Software • Financial Services
Lead the development of content for financial institutions, ensuring clarity on complex technology topics while maintaining editorial standards and collaborating with marketing teams.
Top Skills: AIData AnalyticsSeo
An Hour Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Director of Business Excellence will act as Chief of Staff, support the EVP, lead cross-functional projects, and drive employee engagement and COO strategy.
An Hour Ago
Hybrid
London, England, GBR
Mid level
Mid level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Provide executive support to senior leaders, manage schedules, prepare meeting materials, coordinate meetings, and maintain effective communication with stakeholders.
Top Skills: Microsoft Office 365

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account